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DBMS > Google BigQuery vs. LokiJS vs. Riak KV vs. Sadas Engine

System Properties Comparison Google BigQuery vs. LokiJS vs. Riak KV vs. Sadas Engine

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Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonLokiJS  Xexclude from comparisonRiak KV  Xexclude from comparisonSadas Engine  Xexclude from comparison
DescriptionLarge scale data warehouse service with append-only tablesIn-memory JavaScript DBMSDistributed, fault tolerant key-value storeSADAS Engine is a columnar DBMS specifically designed for high performance in Data warehouse environments
Primary database modelRelational DBMSDocument storeKey-value store infowith links between data sets and object tags for the creation of secondary indexesRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score43.79
Rank#25  Overall
#16  Relational DBMS
Score0.60
Rank#225  Overall
#35  Document stores
Score5.88
Rank#63  Overall
#8  Key-value stores
Score0.00
Rank#351  Overall
#146  Relational DBMS
Websitecloud.google.com/­bigquerygithub.com/­techfort/­LokiJSriak.com/­products/­riak-kvwww.sadasengine.com
Technical documentationcloud.google.com/­bigquery/­docstechfort.github.io/­LokiJSwww.sadasengine.com/­index.php/­downloads/­documentation-columnar-db
DeveloperGoogleBasho TechnologiesSADAS s.r.l.
Initial release2010201420092006
Current release2.1.0, April 20158.0
License infoCommercial or Open SourcecommercialOpen SourceOpen Source infoApache version 2, commercial enterprise editioncommercial infofree trial version available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScriptErlangC++
Server operating systemshostedserver-less, requires a JavaScript environment (browser, Node.js)Linux
OS X
AIX
Linux
Windows
Data schemeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesnonoyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nononono
Secondary indexesnoyes infovia viewsrestrictedyes
SQL infoSupport of SQLyesnonoyes
APIs and other access methodsRESTful HTTP/JSON APIJavaScript APIHTTP API
Native Erlang Interface
JDBC
ODBC
Proprietary protocol
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
JavaScriptC infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
.Net
C
C#
C++
Groovy
Java
PHP
Python
Server-side scripts infoStored proceduresuser defined functions infoin JavaScriptView functions in JavaScriptJavaScript and Erlangno
Triggersnoyesyes infopre-commit hooks and post-commit hooksno
Partitioning methods infoMethods for storing different data on different nodesnonenoneSharding infono "single point of failure"horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono infolinks between data sets can be storedyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoSince BigQuery is designed for querying datano infoatomic operations within a single collection possibleno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infoSerialization of a DB in a Node.JS/Cordova/PhoneGap environment. Usage of the IndexedDB-API in a browser.yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infomanaged by 'Learn by Usage'
User concepts infoAccess controlAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)nonoAccess rights for users, groups and roles according to SQL-standard

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More resources
Google BigQueryLokiJSRiak KVSadas Engine
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